class_docstr: Print a human readable representation of the given at::Tensor.
  Usage: torch-tensor-repr EXP
  
  at::Tensor instances do not have a C++ implementation of a repr method: in
  pytorch, this is done by pure-Python code. As such, torch-tensor-repr
  internally creates a Python wrapper for the given tensor and call repr()
  on it.
code: def __init__(self) -> None:
      gdb.Command.__init__(
          self,
          "torch-tensor-repr",
          gdb.COMMAND_USER,
          gdb.COMPLETE_EXPRESSION,
      )
  
file_path: pytorch/tools/gdb/pytorch-gdb.py
imports: import textwrap
  from typing import Any
  import gdb
label_desc: Use image node_id 1 to create a new TensorRepr object from inherited base classes: gdb with example: obj = TensorRepr()